Ethically, fairness is a cornerstone of building trust and acceptance of AI systems. People need to trust that AI decisions that affect their lives – for example, hiring algorithms – are made ...

In contrast, "individual fairness" means the model would provide similar predictions for individuals with comparable qualifications, regardless of their age, gender, or ethnicity.

In short, AI needs to be fair. The pursuit of fairness in AI is not merely an ethical imperative but a requirement in order to foster trust, inclusivity and the responsible advancement of technology.